| Tighter variational bounds are not necessarily better T Rainforth, AR Kosiorek, TA Le, CJ Maddison, M Igl, F Wood, YW Teh arXiv preprint arXiv:1802.04537, 2018 | 106 | 2018 |
| Auto-encoding sequential monte carlo TA Le, M Igl, T Rainforth, T Jin, F Wood arXiv preprint arXiv:1705.10306, 2017 | 96 | 2017 |
| Auto-encoding sequential monte carlo TA Le, M Igl, T Rainforth, T Jin, F Wood arXiv preprint arXiv:1705.10306, 2017 | 96 | 2017 |
| Deep variational reinforcement learning for POMDPs M Igl, L Zintgraf, TA Le, F Wood, S Whiteson arXiv preprint arXiv:1806.02426, 2018 | 90 | 2018 |
| Treeqn and atreec: Differentiable tree-structured models for deep reinforcement learning G Farquhar, T Rocktäschel, M Igl, S Whiteson arXiv preprint arXiv:1710.11417, 2017 | 75 | 2017 |
| VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning L Zintgraf, K Shiarlis, M Igl, S Schulze, Y Gal, K Hofmann, S Whiteson arXiv preprint arXiv:1910.08348, 2019 | 30 | 2019 |
| Generalization in reinforcement learning with selective noise injection and information bottleneck M Igl, K Ciosek, Y Li, S Tschiatschek, C Zhang, S Devlin, K Hofmann Advances in neural information processing systems, 13978-13990, 2019 | 16 | 2019 |
| Multitask soft option learning M Igl, A Gambardella, J He, N Nardelli, N Siddharth, W Böhmer, ... Conference on Uncertainty in Artificial Intelligence, 969-978, 2020 | 5 | 2020 |
| VARIATIONAL TASK EMBEDDINGS FOR FAST ADAPTA-TION IN DEEP REINFORCEMENT LEARNING L Zintgraf, M Igl, K Shiarlis, A Mahajan, K Hofmann, S Whiteson International Conference on Learning Representations Workshop on Structure …, 2019 | 5 | 2019 |
| VariBAD: a very good method for Bayes-adaptive deep RL via meta-learning S Schulze, S Whiteson, L Zintgraf, M Igl, Y Gal, K Shiarlis, K Hofmann International Conference on Learning Representations, 0 | 3 | |
| The Impact of Non-stationarity on Generalisation in Deep Reinforcement Learning M Igl, G Farquhar, J Luketina, W Boehmer, S Whiteson arXiv preprint arXiv:2006.05826, 2020 | 2 | 2020 |
| My Body is a Cage: the Role of Morphology in Graph-Based Incompatible Control V Kurin, M Igl, T Rocktäschel, W Boehmer, S Whiteson arXiv preprint arXiv:2010.01856, 2020 | | 2020 |
| Exploration in Approximate Hyper-State Space for Meta Reinforcement Learning L Zintgraf, L Feng, M Igl, K Hartikainen, K Hofmann, S Whiteson arXiv preprint arXiv:2010.01062, 2020 | | 2020 |
| Composition of queries in probabilistic programming languages M Igl | | 2016 |
| Soft Option Transfer J He, M Igl, M Smith, W Boehmer, S Whiteson | | |
Shimon WhitesonProfessor of Computer Science, University of Oxford / Head of Research, Waymo UKGeverifieerd e-mailadres voor cs.ox.ac.uk
